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Multi-mode interference waveguide chip-scale spectrometer (invited)

delete2024-10-04
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OA
AI
M
Md Nafiz Amin *
V
Vahid Ganjalizadeh
T
Tyler J. Adams
P
Porter B. Dixon
Z
Zoe Weber
M
Matthew DeMartino
K
Kevin Bundy
A
Aaron R. Hawkins
H
Holger Schmidt
DOI:10.1063/5.0222100delete
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摘要

摘要

En 中文
Spectral analysis of light is one of the oldest and most versatile scientific methods and the basis of countless techniques and instruments. Miniaturized spectrometers have recently seen great advances, but challenges remain before they are widely deployed. We report an integrated photonic spectrometer that achieves high performance with minimal component complexity by combining imaging of light propagation patterns in multi-mode interference waveguides with machine learning analysis. We demonstrate broadband operation in the visible and near-infrared, 0.05 nm spectral resolution, and an array of four spectrometers on a single chip. Two canonical applications are implemented: spectral analysis of the solar spectrum with neural network reconstruction and detection of Rayleigh scattering from microbeads on an optofluidic chip using principal component classification. These results illustrate the potential of this approach for high-performance spectroscopy across disciplines.
Keyword:
HIGH-RESOLUTION
SPECTROSCOPY

期刊

APL Photonics 封面图
APL Photonics
IF:
5.3
论文数:
1.5K
被引数:
5.5K

机构

U
university of california santa cruz
学者数:
8.7K
论文数: 6.8K
被引数: 32
University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
B
Brigham Young University
学者数:
9.0K
论文数: 6.0K
被引数: 9.3K
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引用论文

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